Lead Machine Learning Engineer (Gen AI, Python, Go, AWS)
职位介绍
Design, build, and deploy production-grade GenAI models and components to solve complex business problems.
Develop cloud-native ML serving platforms with Docker, Kubernetes, Knative, and KServe to enable scalable, low-latency inference.
Implement robust MLOps and GitOps practices (CI/CD with ArgoCD) to manage the full lifecycle of models and applications.
Apply service mesh architectures like Istio to ensure secure, reliable traffic and high availability for serving endpoints.
Create and maintain data pipelines, monitor production models, and retrain as needed while adhering to responsible and explainable AI principles.
Collaborate with Product, Data Science, and Operations teams, coding primarily in Python and Go (with optional Java) in an AWS environment.
Develop cloud-native ML serving platforms with Docker, Kubernetes, Knative, and KServe to enable scalable, low-latency inference.
Implement robust MLOps and GitOps practices (CI/CD with ArgoCD) to manage the full lifecycle of models and applications.
Apply service mesh architectures like Istio to ensure secure, reliable traffic and high availability for serving endpoints.
Create and maintain data pipelines, monitor production models, and retrain as needed while adhering to responsible and explainable AI principles.
Collaborate with Product, Data Science, and Operations teams, coding primarily in Python and Go (with optional Java) in an AWS environment.
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